@CycleDecoded: Stop brute-forcing local LLM inference with vanilla HuggingFace — VRAM instantly maxes out, and throughput is as slow as a turtle! vLLM from Berkeley Lab uses the same OS memory-paging trick (PagedAttention) to squeeze GPU VRAM to the extreme, and KV Cache...
Summary
vLLM, open-sourced by UC Berkeley's Sky Computing Lab, is a high-performance LLM inference and serving library. Through PagedAttention and continuous batching, it dramatically improves throughput and reduces VRAM waste, while being compatible with the OpenAI API and various hardware.
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Easy, fast, and cheap LLM serving for everyone
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